Akkaya (2022) adopted the Gaussian process regression (GPR) method to predict ... A novel artificial intelligence technique to estimate the gross calorific value of coal based on metaheuristic and support vector regression algorithms ... a survey of academic, industry and government coal geoscientists. Int. J. Coal Geol., 237 (2021), Article ...
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fuels. In India, coal as a fuel constitutes more than 50% of the total fossil fuel mix, used for energyrelated activities. Countryspecific CO 2 emission factors derived on the basis of the net calorific values1 (NCVs) of the different types of coal produced in the country, namely, coking, noncoking, and lignite have been used in this assessment.
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The determination of operational parameters in the underground coal gasification (UCG) process should be considered in two aspects: first, the total coal in each UCG panel must be gasified and second, the calorific value of the produced gas should be acceptable. The main aim of this study is to present a model that meets these aspects and increasing the calorific value of syngas during this ...
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Semantic Scholar extracted view of "An insitu calorimeter for coal powder: A numerical investigation" by Wang Linglong et al. Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 214,750,757 papers from all fields of science. Search ...
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With the PLSAbased nonlinear regression model, online coal calorific value prediction from the multiband flame radiation features under the operating conditions used by the industrial boiler has ...
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Slovenian coal and estimation of coal heating value based on proximate analysis using regression and artificial neural networks. Central European Journal of Chemistry, 2013;
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PDF | Coal quality is generally defined based on the ash contents. It is well known that the calorific value of coal is negatively affected by the... | Find, read and cite all the research you ...
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N2 The purpose of this study was to enhance the accuracy of the calorific value estimation of coal by applying data preprocessing methods in laserinduced breakdown spectroscopy (LIBS). The SavitzkyGolay (SG)smoothing and SG derivative preprocessing methods were adopted to improve the accuracy of the prediction model.
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DOI: / Corpus ID: ; Research on onsite measurement factors and performance of coal calorific value based on laser ignition article{Zhang2023ResearchOO, title={Research on onsite measurement factors and performance of coal calorific value based on laser ignition}, author={Xuegang Zhang and Linglong Wang and Qiwen Jin and Zhiming Lin and Chenghang Zheng and ...
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Both initiatives are an expression of the unique use of urban planning in Denmark to lay out transport systems and land use to meet citizen's needs during their work, life and leisure time. Its principles are decentralisation, framework control, and public participation. The Finger Plan and the Copenhagen Climate Plan have both left clear marks ...
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India, the world's third largest coal producing country, is expected to maintain strong dependency on coal for the coming few decades. The gross calorific value (GCV) of coal is a key yardstick ...
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The GCV, or higher heating value (HHV), is an indicator of chemically stored energy content of a coal [7, 8].It is usually a decisive parameter in the assessment of the value of the coal and thereby provides a basis for its purchase agreement [9, 10].GCV is the amount of energy released during the combustion of a coal.
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Timely monitoring of the calorific value of coal is beneficial to combustion regulation during the operation of coalfired power plants. An insitu measurement system applied to power plants was ...
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The measurement repeatability meets the requirements of the Chinese national standard. This calorific value measurement technology based on NIRSXRF is safe, fast, and stable, providing a new way to optimize and control the utilization process of coal in coal washing plants, power plants, coking, and other industries.
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They concluded that three parameters (C, N and O) were enough to estimate the calorific value well. In recent years, many models predicting the calorific value of coal were established, which were based on machine learning methods including wavelet neural networks [9], artificial neural networks [10] and support vector regression [11].
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Price Chart Historical Data News. Newcastle coal futures increased to 128 per tonne as demand from China is set to rise as temperatures are falling. China's thermal coal imports for November are anticipated to reach approximately million metric tons, surpassing October's million and trailing only May's million, as per ...
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In this table, calorific values for different types of coal and coal products are shown on a country by country basis. The aggregates for hard coal and brown coal are included for years prior to 1978 only. This table provides the calorific values used to convert raw tonnes of coal and coal products into energy for the OECD Coal Balance data.
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Abstract. The calorific value of coal is important in both the direct use and conversion into other fuel forms of coals. Accurate calorific value predicting is essential in ensuring the economic, efficient, and safe operation of thermal power plants. Least squares support vector machine (LSSVM) is a variation of the classical SVM, which has ...
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gross calorific value is equal to or greater than 24 000 kJ/kg on an ashfree but moist basis. If bituminous coal is used in coke ovens it should be reported as coking coal. 2. Subbituminous coal: Nonagglomerating coal with a gross calorific value equal to or greater than 20 000 kJ/kg and less
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The economy of Denmark is a modern highincome and mixed economy of Denmark is dominated by the service sector with 80% of all jobs, whereas about 11% of all employees work in manufacturing and 2% in agriculture. The nominal gross national income per capita was the ninthhighest in the world at 68,827 in 2023.
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In other words, one can easily estimate the calorific value of a coal with defined ash content. Correlation between measured and predicted calorific values is statistically significant (R2=).
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In Situ monitoring of the calorific value of coal has the advantage of reducing the amount of unburned carbon by injecting an appropriate amount of combustion air immediately to induce complete combustion. High sulfur concentrations cause severe environmental problems such as acid rain. In order to estimate the calorific value and measure the sulfur concentration, a new powerful technique for ...
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second is Hua Ting coal, Ning Xia coal has lowest calorific value. In group A, the calorific value of coal was hardly increased, while the calorific value of the coal in group B and group C increased. It is not necessary to improve the calorific value after the coal blending, there is a problem of the optimum ratio.
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and calorific data collected from the coalbased industrial analysis data of each coalfired power plant, the drybased carbon content is weighted to calculate the content of the drybased carbon. And then calculate the carbon content per unit calorific value, and finally calculate the total CO 2 emissions in the past 5 years. It
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Calorific Value (Heating Value) Calorific value is defined as the amount of calories generated when a unit amount of substance is completely oxidized and is determined using the bomb calorimeter. The calorific value of coal represents gross calorific value (HG ), which contains the latent heat of water vaporization.
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Coal tar from bituminous coal is the liquid byproduct of the distillation of coal to make coke in the coke oven process. Coal tar can be further distilled into different organic products ( benzene, toluene, naphthalene), which normally would be reported as a feedstock to the petrochemical industry. 8. BKB (Brown coal briquettes):
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In order to estimate the calorific value and measure the sulfur concentration, a new powerful technique for mixed coals was studied. Laserinduced breakdown spectroscopy (LIBS) does not require ...
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A material supplier from Belgium would like to produce limestone powder for his custome...
India is rich in various mineral resources and it is an important mineral processing market
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